def chain
bendtorch-core@0.1.0.0 · src/autograd/reduce_replayed_proof.bend:378
import bendtorch-core@0.1.0.0/src/autograd/reduce_replayed_proof.bend as ReduceReplayedProof
import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/storage/model.bend as Model
import bendtorch-core@0.1.0.0/src/storage/main.bend as Storage
import bendtorch-core@0.1.0.0/src/storage/LAWS.bend as StorageLaws
import bendtorch-core@0.1.0.0/src/storage/refinement.bend as Refinement
import bendtorch-core@0.1.0.0/src/storage/array.bend as ArrayCore
import bendtorch-core@0.1.0.0/src/storage/api.bend as Api
import bendtorch-core@0.1.0.0/src/storage/certificates.bend as Certificates
import bendtorch-core@0.1.0.0/src/tensor/word_conversion.bend as Conversion
import bendtorch-core@0.1.0.0/src/tensor/from_values_contract.bend as FromValues
import bendtorch-core@0.1.0.0/src/tensor/contracts/binary_storage_proof.bend as Owned
378
379
380def chain(+plan: Shape.BroadcastPlan, +map: PlanMap(plan), +shape: Shape.Shape, +fill: F32, +ops: List<&2, StorageLaws.Op>, +d: Nat, +n: Nat, -f: {Storage.bounds(d, n) == True{} : Bool}, +fits: {Storage.bounds(d, n) == True{} : Bool},
381 +limit: U32, +n_limit: {Nat.is_le(n, U32.to_nat(limit)) == True{} : Bool},
382 +k: Nat, +room: {Nat.is_le(k, n) == True{} : Bool}) ->
383 {StorageLaws.replay(writes(plan, map, shape, fill, ops, k), Storage.Owned{d, n, Array.new(F32, d, 0.0), ArrayCore.new_balanced(F32, d, 0.0), f}) == Storage.Owned{d, n, out_spec(plan, map, shape, fill, ops, k, d, 0n), out_balanced(plan, map, shape, fill, ops, k, d, 0n), f} : Storage.Storage}:
384 match k:
385 case 0n:
386 Owned.owned_eq(d, n, Array.new(F32, d, 0.0), out_spec(plan, map, shape, fill, ops, 0n, d, 0n), new_spec(plan, map, shape, fill, ops, d, 0n), ArrayCore.new_balanced(F32, d, 0.0), f)(
387 out_balanced(plan, map, shape, fill, ops, 0n, d, 0n))
388 case 1n+j:
389 +index = U32.from_nat(j)
390 +value = cell_word(plan, map, shape, fill, ops, j)
391 +below_n = Conversion.le_successor_lt(j, n, room)
392 +exact = Conversion.natural_word_exact(j, limit, le_trans(j, n, U32.to_nat(limit), Conversion.lt_le(j, n, below_n), n_limit))
393 +inside = Equal.trans(Bool, Nat.is_lt(U32.to_nat(index), n), Nat.is_lt(j, n), True{},
394 Equal.cong(Nat, Bool, x => Nat.is_lt(x, n), U32.to_nat(index), j, exact), below_n)
395 +offset = Equal.trans(Nat, Nat.add(Model.offset(d, Refinement.route(d, index)), 0n), U32.to_nat(index), j,
396 output_position(d, n, index, fits, inside), exact)
397 +written = Equal.trans(Array<F32>, Array.set(F32, out_spec(plan, map, shape, fill, ops, j, d, 0n), index, value), ArrayCore.write_path(F32, d, out_spec(plan, map, shape, fill, ops, j, d, 0n), Refinement.route(d, index), value),
398 out_spec(plan, map, shape, fill, ops, 1n+j, d, 0n), Refinement.law_set_refines(F32, d, out_spec(plan, map, shape, fill, ops, j, d, 0n), index, value, out_balanced(plan, map, shape, fill, ops, j, d, 0n)),
399 write_spec(plan, map, shape, fill, ops, j, d, 0n, Refinement.route(d, index), offset))
400 Equal.trans(Storage.Storage, StorageLaws.replay(writes(plan, map, shape, fill, ops, 1n+j), Storage.Owned{d, n, Array.new(F32, d, 0.0), ArrayCore.new_balanced(F32, d, 0.0), f}),
401 StorageLaws.step(StorageLaws.replay(writes(plan, map, shape, fill, ops, j), Storage.Owned{d, n, Array.new(F32, d, 0.0), ArrayCore.new_balanced(F32, d, 0.0), f}), StorageLaws.Write{index, value}),
402 Storage.Owned{d, n, out_spec(plan, map, shape, fill, ops, 1n+j, d, 0n), out_balanced(plan, map, shape, fill, ops, 1n+j, d, 0n), f},
403 FromValues.replay_snoc(writes(plan, map, shape, fill, ops, j), StorageLaws.Write{index, value}, Storage.Owned{d, n, Array.new(F32, d, 0.0), ArrayCore.new_balanced(F32, d, 0.0), f}),
404 %Equal.sym(Storage.Storage, StorageLaws.replay(writes(plan, map, shape, fill, ops, j), Storage.Owned{d, n, Array.new(F32, d, 0.0), ArrayCore.new_balanced(F32, d, 0.0), f}), Storage.Owned{d, n, out_spec(plan, map, shape, fill, ops, j, d, 0n), out_balanced(plan, map, shape, fill, ops, j, d, 0n), f},
405 chain(plan, map, shape, fill, ops, d, n, f, fits, limit, n_limit, j, Conversion.le_predecessor(j, n, room))) :
406 {StorageLaws.step(_, StorageLaws.Write{index, value}) == Storage.Owned{d, n, out_spec(plan, map, shape, fill, ops, 1n+j, d, 0n), out_balanced(plan, map, shape, fill, ops, 1n+j, d, 0n), f} : Storage.Storage}
407 %Equal.sym(Storage.Storage & Result<&2, &2, Storage.Error, Unit>,
408 Storage.set_checked(d, n, out_spec(plan, map, shape, fill, ops, j, d, 0n), index, value, Nat.is_lt(U32.to_nat(index), n), {==}, out_balanced(plan, map, shape, fill, ops, j, d, 0n), f),
409 (Storage.Owned{d, n, Array.set(F32, out_spec(plan, map, shape, fill, ops, j, d, 0n), index, value),
410 Certificates.set_result(F32, d, out_spec(plan, map, shape, fill, ops, j, d, 0n), index, value, Array.set(F32, out_spec(plan, map, shape, fill, ops, j, d, 0n), index, value), {==}, out_balanced(plan, map, shape, fill, ops, j, d, 0n)), f}, Done{Unit{}}),
411 Api.set_checked_hit(d, n, out_spec(plan, map, shape, fill, ops, j, d, 0n), index, value, Nat.is_lt(U32.to_nat(index), n), {==}, out_balanced(plan, map, shape, fill, ops, j, d, 0n), f,
412 Equal.sym(Bool, Nat.is_lt(U32.to_nat(index), n), True{}, inside), fits, inside)) :
413 {StorageLaws.owner(Result<&2, &2, Storage.Error, Unit>, _) == Storage.Owned{d, n, out_spec(plan, map, shape, fill, ops, 1n+j, d, 0n), out_balanced(plan, map, shape, fill, ops, 1n+j, d, 0n), f} : Storage.Storage}
414 Owned.owned_eq(d, n, Array.set(F32, out_spec(plan, map, shape, fill, ops, j, d, 0n), index, value), out_spec(plan, map, shape, fill, ops, 1n+j, d, 0n), written,
415 Certificates.set_result(F32, d, out_spec(plan, map, shape, fill, ops, j, d, 0n), index, value, Array.set(F32, out_spec(plan, map, shape, fill, ops, j, d, 0n), index, value), {==}, out_balanced(plan, map, shape, fill, ops, j, d, 0n)), f)(
416 out_balanced(plan, map, shape, fill, ops, 1n+j, d, 0n)))